Esta gu\u00eda proporciona una descripci\u00f3n general completa de las tolerancias para el di\u00e1metro de paso (D2<\/sub>) de roscas internas m\u00e9tricas, alineadas con las normas ISO 965-1 para roscas m\u00e9tricas de uso general. Estas tolerancias garantizan la intercambiabilidad, el ajuste y el rendimiento en los conjuntos mec\u00e1nicos. El di\u00e1metro primitivo es fundamental, ya que determina el \u00e1rea de contacto efectiva entre las roscas acopladas, influyendo en la resistencia y las propiedades de sellado. Este recurso complementa discusiones m\u00e1s amplias sobre di\u00e1metros mayor, primitivo y menor, centr\u00e1ndose espec\u00edficamente en la rosca interna D2<\/sub> Valores en varios grados de tolerancia y tama\u00f1os desde M1 hasta M300.<\/p>\n El cumplimiento de las normas ISO garantiza la fiabilidad en sectores como el automotriz, el aeroespacial y la fabricaci\u00f3n de maquinaria. Se especifican tolerancias para grados como 4H a 8H, con l\u00edmites m\u00e1ximos y m\u00ednimos en mil\u00edmetros, lo que permite un mecanizado preciso y un control de calidad \u00f3ptimo.<\/p>\n El di\u00e1metro del paso D2<\/sub> representa el cilindro imaginario donde el ancho de la rosca es igual al ancho del espacio, lo cual es crucial para el acoplamiento de la rosca. Para roscas internas, las tolerancias se definen mediante l\u00edmites de desviaci\u00f3n superior e inferior basados \u200b\u200ben la clase de tolerancia (por ejemplo, 6H para ajuste medio).<\/p>\n Comprender estos aspectos garantiza un rendimiento \u00f3ptimo de la rosca, evitando problemas como el desgaste o el ajuste flojo en los ensamblajes.<\/p>\n La tabla a continuaci\u00f3n enumera los valores m\u00e1ximos y m\u00ednimos de D.2<\/sub> Dimensiones en mm para roscas internas m\u00e9tricas seg\u00fan ISO 965-1. Incluye tama\u00f1os y pasos comunes, con clases de tolerancia resaltadas (por ejemplo, 6H en verde para uso est\u00e1ndar). \u00daselo para dise\u00f1o e inspecci\u00f3n; consulte la documentaci\u00f3n ISO completa para pasos adicionales.<\/p>\n Nota: Los valores son solo de referencia; verifique con la norma ISO 965 para aplicaciones espec\u00edficas. El valor 6H resaltado es com\u00fan para uso general.<\/p>\n Tolerancias para D2<\/sub> se calculan utilizando las f\u00f3rmulas ISO 965: L\u00edmite inferior = D nominal2<\/sub> + EI, l\u00edmite superior = D nominal2<\/sub> + EI + T, donde EI es la desviaci\u00f3n inferior (0 para las clases H), T es la magnitud del grado de tolerancia.<\/p>\n Estos m\u00e9todos garantizan la precisi\u00f3n, con herramientas de software que facilitan los c\u00e1lculos complejos.<\/p>\n Aplique tolerancias seg\u00fan los requisitos de montaje: utilice 6H para ajustes est\u00e1ndar y grados m\u00e1s ajustados para aplicaciones de alta carga. Inspeccione con calibres calibrados, teniendo en cuenta la dilataci\u00f3n del material.<\/p>\n D nominal2<\/sub> = 10 \u2013 0,6495*1,5 \u2248 9,026 mm; aplicar la clase de tolerancia para los l\u00edmites.<\/p>\n Los grados inferiores (por ejemplo, 4H) permiten un ajuste m\u00e1s holgado para facilitar el montaje; los superiores (8H) requieren precisi\u00f3n, seg\u00fan la norma ISO 965.<\/p>\n Proporciona una tolerancia media equilibrada para aplicaciones de ingenier\u00eda general, lo que garantiza una intercambiabilidad fiable.<\/p>\n S\u00ed, a\u00f1ada un margen de recubrimiento a los l\u00edmites seg\u00fan la norma ISO 4042, normalmente de 4 a 8 \u03bcm por lado.<\/p>\n Utilice las f\u00f3rmulas de la norma ISO 965 para el c\u00e1lculo o consulte las normas ampliadas para tonos no est\u00e1ndar.<\/p>\n Emplee el m\u00e9todo de tres hilos con micr\u00f3metro, utilizando di\u00e1metros de hilo basados \u200b\u200ben el paso para obtener lecturas precisas.<\/p>\n <\/p>","protected":false},"excerpt":{"rendered":" Introduction to Metric Thread Tolerances This guide provides a comprehensive overview of tolerances for the pitch diameter (D2) of metric internal threads, aligned with ISO 965-1 standards for general-purpose metric screw threads. These tolerances ensure interchangeability, fit, and performance in mechanical assemblies. The pitch diameter is critical as it determines the effective contact area between […]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[220],"tags":[],"class_list":["post-5789","post","type-post","status-publish","format-standard","hentry","category-technical-documentation-and-references"],"_links":{"self":[{"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/posts\/5789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/comments?post=5789"}],"version-history":[{"count":2,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/posts\/5789\/revisions"}],"predecessor-version":[{"id":5791,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/posts\/5789\/revisions\/5791"}],"wp:attachment":[{"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/media?parent=5789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/categories?post=5789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/korea-transmission.com\/es\/wp-json\/wp\/v2\/tags?post=5789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Conceptos clave: Di\u00e1metro de paso D2<\/sub> para hilos internos<\/h2>\n
\n
Tabla de tolerancias para el di\u00e1metro de paso de rosca interna D2<\/sub><\/h2>\n
\n\n
\n Clase de tolerancia<\/th>\n L\u00edmite<\/th>\n M1<\/th>\n M1.1<\/th>\n M1.2<\/th>\n M1.4<\/th>\n M1.6<\/th>\n M1.8<\/th>\n M2<\/th>\n M2.2<\/th>\n M2.5<\/th>\n M3<\/th>\n M3.5<\/th>\n M4<\/th>\n M4.5<\/th>\n M5<\/th>\n M5.5<\/th>\n M6<\/th>\n M7<\/th>\n M8<\/th>\n M9<\/th>\n M10<\/th>\n M11<\/th>\n M12<\/th>\n M14<\/th>\n M15<\/th>\n M16<\/th>\n M17<\/th>\n M18<\/th>\n M20<\/th>\n M22<\/th>\n M24<\/th>\n M25<\/th>\n M26<\/th>\n M27<\/th>\n M28<\/th>\n M30<\/th>\n M32<\/th>\n M33<\/th>\n M35<\/th>\n M36<\/th>\n M38<\/th>\n M39<\/th>\n M40<\/th>\n M42<\/th>\n M45<\/th>\n M48<\/th>\n M50<\/th>\n M52<\/th>\n M55<\/th>\n M56<\/th>\n M58<\/th>\n M60<\/th>\n M62<\/th>\n M64<\/th>\n M65<\/th>\n M68<\/th>\n M70<\/th>\n M72<\/th>\n M75<\/th>\n M76<\/th>\n M78<\/th>\n M80<\/th>\n M82<\/th>\n M85<\/th>\n M90<\/th>\n M95<\/th>\n M100<\/th>\n M105<\/th>\n M110<\/th>\n M115<\/th>\n M120<\/th>\n M125<\/th>\n M130<\/th>\n M135<\/th>\n M140<\/th>\n M145<\/th>\n M150<\/th>\n M155<\/th>\n M160<\/th>\n M165<\/th>\n M170<\/th>\n M175<\/th>\n M180<\/th>\n M185<\/th>\n M190<\/th>\n M195<\/th>\n M200<\/th>\n M205<\/th>\n M210<\/th>\n M215<\/th>\n M220<\/th>\n M225<\/th>\n M230<\/th>\n M235<\/th>\n M240<\/th>\n M245<\/th>\n M250<\/th>\n M255<\/th>\n M260<\/th>\n M265<\/th>\n M270<\/th>\n M275<\/th>\n M280<\/th>\n M285<\/th>\n M290<\/th>\n M295<\/th>\n M300<\/th>\n<\/tr>\n \n \n0.25<\/th>\n 0.2<\/th>\n 0.25<\/th>\n 0.2<\/th>\n 0.25<\/th>\n 0.2<\/th>\n 0.3<\/th>\n 0.2<\/th>\n 0.35<\/th>\n 0.2<\/th>\n 0.35<\/th>\n 0.2<\/th>\n 0.4<\/th>\n 0.25<\/th>\n 0.45<\/th>\n 0.25<\/th>\n 0.45<\/th>\n 0.35<\/th>\n 0.5<\/th>\n 0.35<\/th>\n 0.6<\/th>\n 0.35<\/th>\n 0.7<\/th>\n 0.5<\/th>\n 0.75<\/th>\n 0.5<\/th>\n 0.8<\/th>\n 0.5<\/th>\n 0.5<\/th>\n 1<\/th>\n 0.75<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.5<\/th>\n 1<\/th>\n 0.75<\/th>\n 1.75<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.25<\/th>\n 1<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2.5<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 3.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1<\/th>\n 2<\/th>\n 1.5<\/th>\n 3.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 5.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 1.5<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 2<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 3<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n 6<\/th>\n 4<\/th>\n 8<\/th>\n 6<\/th>\n 4<\/th>\n<\/tr>\n<\/thead>\n \n 4G<\/td>\n M\u00e1ximo<\/td>\n 0.901<\/td>\n 0.927<\/td>\n 1.001<\/td>\n 1.027<\/td>\n 1.101<\/td>\n 1.127<\/td>\n 1.271<\/td>\n 1.327<\/td>\n 1.445<\/td>\n 1.529<\/td>\n 1.645<\/td>\n 1.729<\/td>\n 1.815<\/td>\n 1.904<\/td>\n 1.988<\/td>\n 2.104<\/td>\n 2.288<\/td>\n 2.345<\/td>\n 2.758<\/td>\n 2.848<\/td>\n 3.202<\/td>\n 3.348<\/td>\n 3.642<\/td>\n 3.758<\/td>\n 4.11<\/td>\n 4.258<\/td>\n 4.584<\/td>\n 4.758<\/td>\n 5.258<\/td>\n 5.472<\/td>\n 5.62<\/td>\n 6.472<\/td>\n 6.62<\/td>\n 7.316<\/td>\n 7.472<\/td>\n 7.62<\/td>\n 8.316<\/td>\n 8.472<\/td>\n 8.62<\/td>\n 9.17<\/td>\n 9.316<\/td>\n 9.472<\/td>\n 9.62<\/td>\n 10.17<\/td>\n 10.472<\/td>\n 10.62<\/td>\n 11.022<\/td>\n 11.176<\/td>\n 11.328<\/td>\n 11.477<\/td>\n 12.871<\/td>\n 13.176<\/td>\n 13.328<\/td>\n 13.477<\/td>\n 14.176<\/td>\n 14.477<\/td>\n 14.871<\/td>\n 15.176<\/td>\n 15.477<\/td>\n 16.176<\/td>\n 16.477<\/td>\n 16.558<\/td>\n 16.871<\/td>\n 17.176<\/td>\n 17.477<\/td>\n 18.558<\/td>\n 18.871<\/td>\n 19.176<\/td>\n 19.477<\/td>\n 20.558<\/td>\n 20.871<\/td>\n 21.176<\/td>\n 21.477<\/td>\n 22.27<\/td>\n 22.879<\/td>\n 23.183<\/td>\n 23.483<\/td>\n 23.879<\/td>\n 24.183<\/td>\n 24.483<\/td>\n 25.183<\/td>\n 25.27<\/td>\n 25.879<\/td>\n 26.183<\/td>\n 26.483<\/td>\n 26.879<\/td>\n 27.183<\/td>\n 27.483<\/td>\n 27.96<\/td>\n 28.27<\/td>\n 28.879<\/td>\n 29.183<\/td>\n 29.483<\/td>\n 30.879<\/td>\n 31.183<\/td>\n 30.96<\/td>\n 31.27<\/td>\n 31.879<\/td>\n 32.183<\/td>\n 34.183<\/td>\n 33.652<\/td>\n 34.27<\/td>\n 34.879<\/td>\n 35.183<\/td>\n 37.183<\/td>\n 36.652<\/td>\n 37.27<\/td>\n 37.879<\/td>\n 38.183<\/td>\n 38.27<\/td>\n 38.879<\/td>\n 39.183<\/td>\n 39.34<\/td>\n 39.652<\/td>\n 40.27<\/td>\n 40.879<\/td>\n 41.183<\/td>\n 42.34<\/td>\n 42.652<\/td>\n 43.27<\/td>\n 43.879<\/td>\n 44.183<\/td>\n 45.036<\/td>\n 45.662<\/td>\n 46.28<\/td>\n 46.889<\/td>\n 47.19<\/td>\n 48.28<\/td>\n 48.889<\/td>\n 49.19<\/td>\n 49.036<\/td>\n 49.662<\/td>\n 50.28<\/td>\n 50.889<\/td>\n 51.19<\/td>\n 52.662<\/td>\n 53.28<\/td>\n 53.889<\/td>\n 54.19<\/td>\n 52.727<\/td>\n 53.662<\/td>\n 54.28<\/td>\n 54.889<\/td>\n 55.19<\/td>\n 55.662<\/td>\n 56.28<\/td>\n 56.889<\/td>\n 57.19<\/td>\n 56.727<\/td>\n 57.662<\/td>\n 58.28<\/td>\n 58.889<\/td>\n 59.19<\/td>\n 59.662<\/td>\n 60.28<\/td>\n 60.889<\/td>\n 61.19<\/td>\n 60.419<\/td>\n 61.662<\/td>\n 62.28<\/td>\n 62.889<\/td>\n 63.19<\/td>\n 62.662<\/td>\n 63.28<\/td>\n 63.889<\/td>\n 64.19<\/td>\n 64.419<\/td>\n 65.662<\/td>\n 66.28<\/td>\n 66.889<\/td>\n 67.19<\/td>\n 66.419<\/td>\n 67.662<\/td>\n 68.28<\/td>\n 68.889<\/td>\n 69.19<\/td>\n 68.419<\/td>\n 69.662<\/td>\n 70.28<\/td>\n 70.889<\/td>\n 71.19<\/td>\n 72.662<\/td>\n 73.28<\/td>\n 73.889<\/td>\n 74.19<\/td>\n 72.419<\/td>\n 73.662<\/td>\n 74.28<\/td>\n 74.889<\/td>\n 75.19<\/td>\n 76.889<\/td>\n 76.419<\/td>\n 77.662<\/td>\n 78.28<\/td>\n 78.889<\/td>\n 79.19<\/td>\n 80.889<\/td>\n 81.419<\/td>\n 82.662<\/td>\n 83.28<\/td>\n 83.889<\/td>\n 86.419<\/td>\n 87.662<\/td>\n 88.28<\/td>\n 88.889<\/td>\n 91.433<\/td>\n 92.674<\/td>\n 93.29<\/td>\n 93.899<\/td>\n 96.433<\/td>\n 97.674<\/td>\n 98.29<\/td>\n 98.899<\/td>\n 101.433<\/td>\n 102.674<\/td>\n 103.29<\/td>\n 103.899<\/td>\n 106.433<\/td>\n 107.674<\/td>\n 108.29<\/td>\n 108.899<\/td>\n 111.433<\/td>\n 112.674<\/td>\n 113.29<\/td>\n 113.899<\/td>\n 116.433<\/td>\n 117.674<\/td>\n 118.29<\/td>\n 118.899<\/td>\n 121.433<\/td>\n 122.674<\/td>\n 123.29<\/td>\n 123.899<\/td>\n 126.433<\/td>\n 127.674<\/td>\n 128.29<\/td>\n 128.899<\/td>\n 131.433<\/td>\n 132.674<\/td>\n 133.29<\/td>\n 133.899<\/td>\n 136.433<\/td>\n 137.674<\/td>\n 138.29<\/td>\n 138.899<\/td>\n 141.433<\/td>\n 142.674<\/td>\n 143.29<\/td>\n 143.899<\/td>\n 145.184<\/td>\n 146.433<\/td>\n 147.674<\/td>\n 148.29<\/td>\n 148.899<\/td>\n 151.433<\/td>\n 152.674<\/td>\n 153.29<\/td>\n 155.184<\/td>\n 156.433<\/td>\n 157.674<\/td>\n 158.29<\/td>\n 161.433<\/td>\n 162.674<\/td>\n 163.29<\/td>\n 165.184<\/td>\n 166.433<\/td>\n 167.674<\/td>\n 168.29<\/td>\n 171.433<\/td>\n 172.674<\/td>\n 173.29<\/td>\n 175.184<\/td>\n 176.433<\/td>\n 177.674<\/td>\n 178.29<\/td>\n 181.448<\/td>\n 182.698<\/td>\n 183.312<\/td>\n 185.204<\/td>\n 186.448<\/td>\n 187.698<\/td>\n 188.312<\/td>\n 191.448<\/td>\n 192.698<\/td>\n 193.312<\/td>\n 195.204<\/td>\n 196.448<\/td>\n 197.698<\/td>\n 198.312<\/td>\n 201.448<\/td>\n 202.698<\/td>\n 203.312<\/td>\n 205.204<\/td>\n 206.448<\/td>\n 207.698<\/td>\n 208.312<\/td>\n 211.448<\/td>\n 212.698<\/td>\n 213.312<\/td>\n 215.204<\/td>\n 216.448<\/td>\n 217.698<\/td>\n 218.312<\/td>\n 221.448<\/td>\n 222.698<\/td>\n 223.312<\/td>\n 225.204<\/td>\n 226.448<\/td>\n 227.698<\/td>\n 228.312<\/td>\n 231.448<\/td>\n 232.698<\/td>\n 233.312<\/td>\n 235.204<\/td>\n 236.448<\/td>\n 237.698<\/td>\n 238.312<\/td>\n 241.448<\/td>\n 242.698<\/td>\n 243.312<\/td>\n 245.204<\/td>\n 246.448<\/td>\n 247.698<\/td>\n 248.312<\/td>\n 251.448<\/td>\n 252.698<\/td>\n 255.204<\/td>\n 256.448<\/td>\n 257.698<\/td>\n 261.448<\/td>\n 262.698<\/td>\n 265.204<\/td>\n 266.448<\/td>\n 267.698<\/td>\n 271.448<\/td>\n 272.698<\/td>\n 275.204<\/td>\n 276.448<\/td>\n 277.698<\/td>\n 281.448<\/td>\n 282.698<\/td>\n 285.204<\/td>\n 286.448<\/td>\n 287.698<\/td>\n 291.448<\/td>\n 292.698<\/td>\n 295.204<\/td>\n 296.448<\/td>\n 297.698<\/td>\n<\/tr>\n \n M\u00ednimo<\/td>\n 0.856<\/td>\n 0.887<\/td>\n 0.956<\/td>\n 0.987<\/td>\n 1.056<\/td>\n 1.087<\/td>\n 1.223<\/td>\n 1.287<\/td>\n 1.392<\/td>\n 1.487<\/td>\n 1.592<\/td>\n 1.687<\/td>\n 1.759<\/td>\n 1.856<\/td>\n 1.928<\/td>\n 2.056<\/td>\n 2.228<\/td>\n 2.292<\/td>\n 2.695<\/td>\n 2.792<\/td>\n 3.131<\/td>\n 3.292<\/td>\n 3.567<\/td>\n 3.695<\/td>\n 4.035<\/td>\n 4.195<\/td>\n 4.504<\/td>\n 4.695<\/td>\n 5.195<\/td>\n 5.377<\/td>\n 5.535<\/td>\n 6.377<\/td>\n 6.535<\/td>\n 7.216<\/td>\n 7.377<\/td>\n 7.535<\/td>\n 8.216<\/td>\n 8.377<\/td>\n 8.535<\/td>\n 9.058<\/td>\n 9.216<\/td>\n 9.377<\/td>\n 9.535<\/td>\n 10.058<\/td>\n 10.377<\/td>\n 10.535<\/td>\n 10.897<\/td>\n 11.058<\/td>\n 11.216<\/td>\n 11.377<\/td>\n 12.739<\/td>\n 13.058<\/td>\n 13.216<\/td>\n 13.377<\/td>\n 14.058<\/td>\n 14.377<\/td>\n 14.739<\/td>\n 15.058<\/td>\n 15.377<\/td>\n 16.058<\/td>\n 16.377<\/td>\n 16.418<\/td>\n 16.739<\/td>\n 17.058<\/td>\n 17.377<\/td>\n 18.418<\/td>\n 18.739<\/td>\n 19.058<\/td>\n 19.377<\/td>\n 20.418<\/td>\n 20.739<\/td>\n 21.058<\/td>\n 21.377<\/td>\n 22.1<\/td>\n 22.739<\/td>\n 23.058<\/td>\n 23.377<\/td>\n 23.739<\/td>\n 24.058<\/td>\n 24.377<\/td>\n 25.058<\/td>\n 25.1<\/td>\n 25.739<\/td>\n 26.058<\/td>\n 26.377<\/td>\n 26.739<\/td>\n 27.058<\/td>\n 27.377<\/td>\n 27.78<\/td>\n 28.1<\/td>\n 28.739<\/td>\n 29.058<\/td>\n 29.377<\/td>\n 30.739<\/td>\n 31.058<\/td>\n 30.78<\/td>\n 31.1<\/td>\n 31.739<\/td>\n 32.058<\/td>\n 34.058<\/td>\n 33.462<\/td>\n 34.1<\/td>\n 34.739<\/td>\n 35.058<\/td>\n 37.058<\/td>\n 36.462<\/td>\n 37.1<\/td>\n 37.739<\/td>\n 38.058<\/td>\n 38.1<\/td>\n 38.739<\/td>\n 39.058<\/td>\n 39.14<\/td>\n 39.462<\/td>\n 40.1<\/td>\n 40.739<\/td>\n 41.058<\/td>\n 42.14<\/td>\n 42.462<\/td>\n 43.1<\/td>\n 43.739<\/td>\n 44.058<\/td>\n 44.823<\/td>\n 45.462<\/td>\n 46.1<\/td>\n 46.739<\/td>\n 47.058<\/td>\n 48.1<\/td>\n 48.739<\/td>\n 49.058<\/td>\n 48.823<\/td>\n 49.462<\/td>\n 50.1<\/td>\n 50.739<\/td>\n 51.058<\/td>\n 52.462<\/td>\n 53.1<\/td>\n 53.739<\/td>\n 54.058<\/td>\n 52.503<\/td>\n 53.462<\/td>\n 54.1<\/td>\n 54.739<\/td>\n 55.058<\/td>\n 55.462<\/td>\n 56.1<\/td>\n 56.739<\/td>\n 57.058<\/td>\n 56.503<\/td>\n 57.462<\/td>\n 58.1<\/td>\n 58.739<\/td>\n 59.058<\/td>\n 59.462<\/td>\n 60.1<\/td>\n 60.739<\/td>\n 61.058<\/td>\n 60.183<\/td>\n 61.462<\/td>\n 62.1<\/td>\n 62.739<\/td>\n 63.058<\/td>\n 62.462<\/td>\n 63.1<\/td>\n 63.739<\/td>\n 64.058<\/td>\n 64.183<\/td>\n 65.462<\/td>\n 66.1<\/td>\n 66.739<\/td>\n 67.058<\/td>\n 66.183<\/td>\n 67.462<\/td>\n 68.1<\/td>\n 68.739<\/td>\n 69.058<\/td>\n 68.183<\/td>\n 69.462<\/td>\n 70.1<\/td>\n 70.739<\/td>\n 71.058<\/td>\n 72.462<\/td>\n 73.1<\/td>\n 73.739<\/td>\n 74.058<\/td>\n 72.183<\/td>\n 73.462<\/td>\n 74.1<\/td>\n 74.739<\/td>\n 75.058<\/td>\n 76.739<\/td>\n 76.183<\/td>\n 77.462<\/td>\n 78.1<\/td>\n 78.739<\/td>\n 79.058<\/td>\n 80.739<\/td>\n 81.183<\/td>\n 82.462<\/td>\n 83.1<\/td>\n 83.739<\/td>\n 86.183<\/td>\n 87.462<\/td>\n 88.1<\/td>\n 88.739<\/td>\n 91.183<\/td>\n 92.462<\/td>\n 93.1<\/td>\n 93.739<\/td>\n 96.183<\/td>\n 97.462<\/td>\n 98.1<\/td>\n 98.739<\/td>\n 101.183<\/td>\n 102.462<\/td>\n 103.1<\/td>\n 103.739<\/td>\n 106.183<\/td>\n 107.462<\/td>\n 108.1<\/td>\n 108.739<\/td>\n 111.183<\/td>\n 112.462<\/td>\n 113.1<\/td>\n 113.739<\/td>\n 116.183<\/td>\n 117.462<\/td>\n 118.1<\/td>\n 118.739<\/td>\n 121.183<\/td>\n 122.462<\/td>\n 123.1<\/td>\n 123.739<\/td>\n 126.183<\/td>\n 127.462<\/td>\n 128.1<\/td>\n 128.739<\/td>\n 131.183<\/td>\n 132.462<\/td>\n 133.1<\/td>\n 133.739<\/td>\n 136.183<\/td>\n 137.462<\/td>\n 138.1<\/td>\n 138.739<\/td>\n 141.183<\/td>\n 142.462<\/td>\n 143.1<\/td>\n 143.739<\/td>\n 144.904<\/td>\n 146.183<\/td>\n 147.462<\/td>\n 148.1<\/td>\n 148.739<\/td>\n 151.183<\/td>\n 152.462<\/td>\n 153.1<\/td>\n 154.904<\/td>\n 156.183<\/td>\n 157.462<\/td>\n 158.1<\/td>\n 161.183<\/td>\n 162.462<\/td>\n 163.1<\/td>\n 164.904<\/td>\n 166.183<\/td>\n 167.462<\/td>\n 168.1<\/td>\n 171.183<\/td>\n 172.462<\/td>\n 173.1<\/td>\n 174.904<\/td>\n 176.183<\/td>\n 177.462<\/td>\n 178.1<\/td>\n 181.183<\/td>\n 182.462<\/td>\n 183.1<\/td>\n 184.904<\/td>\n 186.183<\/td>\n 187.462<\/td>\n 188.1<\/td>\n 191.183<\/td>\n 192.462<\/td>\n 193.1<\/td>\n 194.904<\/td>\n 196.183<\/td>\n 197.462<\/td>\n 198.1<\/td>\n 201.183<\/td>\n 202.462<\/td>\n 203.1<\/td>\n 204.904<\/td>\n 206.183<\/td>\n 207.462<\/td>\n 208.1<\/td>\n 211.183<\/td>\n 212.462<\/td>\n 213.1<\/td>\n 214.904<\/td>\n 216.183<\/td>\n 217.462<\/td>\n 218.1<\/td>\n 221.183<\/td>\n 222.462<\/td>\n 223.1<\/td>\n 224.904<\/td>\n 226.183<\/td>\n 227.462<\/td>\n 228.1<\/td>\n 231.183<\/td>\n 232.462<\/td>\n 233.1<\/td>\n 234.904<\/td>\n 236.183<\/td>\n 237.462<\/td>\n 238.1<\/td>\n 241.183<\/td>\n 242.462<\/td>\n 243.1<\/td>\n 244.904<\/td>\n 246.183<\/td>\n 247.462<\/td>\n 248.1<\/td>\n 251.183<\/td>\n 252.462<\/td>\n 254.904<\/td>\n 256.183<\/td>\n 257.462<\/td>\n 261.183<\/td>\n 262.462<\/td>\n 264.904<\/td>\n 266.183<\/td>\n 267.462<\/td>\n 271.183<\/td>\n 272.462<\/td>\n 274.904<\/td>\n 276.183<\/td>\n 277.462<\/td>\n 281.183<\/td>\n 282.462<\/td>\n 284.904<\/td>\n 286.183<\/td>\n 287.462<\/td>\n 291.183<\/td>\n 292.462<\/td>\n 294.904<\/td>\n 296.183<\/td>\n 297.462<\/td>\n<\/tr>\n \n 4H<\/td>\n M\u00e1ximo<\/td>\n 0.883<\/td>\n 0.91<\/td>\n 0.983<\/td>\n 1.01<\/td>\n 1.083<\/td>\n 1.11<\/td>\n 1.253<\/td>\n 1.31<\/td>\n 1.426<\/td>\n 1.512<\/td>\n 1.626<\/td>\n 1.712<\/td>\n 1.796<\/td>\n 1.886<\/td>\n 1.968<\/td>\n 2.086<\/td>\n 2.268<\/td>\n 2.326<\/td>\n 2.738<\/td>\n 2.829<\/td>\n 3.181<\/td>\n 3.329<\/td>\n 3.62<\/td>\n 3.738<\/td>\n 4.088<\/td>\n 4.238<\/td>\n 4.56<\/td>\n 4.738<\/td>\n 5.238<\/td>\n 5.446<\/td>\n 5.598<\/td>\n 6.446<\/td>\n 6.598<\/td>\n 7.288<\/td>\n 7.446<\/td>\n 7.598<\/td>\n 8.288<\/td>\n 8.446<\/td>\n 8.598<\/td>\n 9.138<\/td>\n 9.288<\/td>\n 9.446<\/td>\n 9.598<\/td>\n 10.138<\/td>\n 10.446<\/td>\n 10.598<\/td>\n 10.988<\/td>\n 11.144<\/td>\n 11.3<\/td>\n 11.451<\/td>\n 12.833<\/td>\n 13.144<\/td>\n 13.3<\/td>\n 13.451<\/td>\n 14.144<\/td>\n 14.451<\/td>\n 14.833<\/td>\n 15.144<\/td>\n 15.451<\/td>\n 16.144<\/td>\n 16.451<\/td>\n 16.516<\/td>\n 16.833<\/td>\n 17.144<\/td>\n 17.451<\/td>\n 18.516<\/td>\n 18.833<\/td>\n 19.144<\/td>\n 19.451<\/td>\n 20.516<\/td>\n 20.833<\/td>\n 21.144<\/td>\n 21.451<\/td>\n 22.222<\/td>\n 22.841<\/td>\n 23.151<\/td>\n 23.457<\/td>\n 23.841<\/td>\n 24.151<\/td>\n 24.457<\/td>\n 25.151<\/td>\n 25.222<\/td>\n 25.841<\/td>\n 26.151<\/td>\n 26.457<\/td>\n 26.841<\/td>\n 27.151<\/td>\n 27.457<\/td>\n 27.907<\/td>\n 28.222<\/td>\n 28.841<\/td>\n 29.151<\/td>\n 29.457<\/td>\n 30.841<\/td>\n 31.151<\/td>\n 30.907<\/td>\n 31.222<\/td>\n 31.841<\/td>\n 32.151<\/td>\n 34.151<\/td>\n 33.592<\/td>\n 34.222<\/td>\n 34.841<\/td>\n 35.151<\/td>\n 37.151<\/td>\n 36.592<\/td>\n 37.222<\/td>\n 37.841<\/td>\n 38.151<\/td>\n 38.222<\/td>\n 38.841<\/td>\n 39.151<\/td>\n 39.277<\/td>\n 39.592<\/td>\n 40.222<\/td>\n 40.841<\/td>\n 41.151<\/td>\n 42.277<\/td>\n 42.592<\/td>\n 43.222<\/td>\n 43.841<\/td>\n 44.151<\/td>\n 44.965<\/td>\n 45.602<\/td>\n 46.232<\/td>\n 46.851<\/td>\n 47.158<\/td>\n 48.232<\/td>\n 48.851<\/td>\n 49.158<\/td>\n 48.965<\/td>\n 49.602<\/td>\n 50.232<\/td>\n 50.851<\/td>\n 51.158<\/td>\n 52.602<\/td>\n 53.232<\/td>\n 53.851<\/td>\n 54.158<\/td>\n 52.652<\/td>\n 53.602<\/td>\n 54.232<\/td>\n 54.851<\/td>\n 55.158<\/td>\n 55.602<\/td>\n 56.232<\/td>\n 56.851<\/td>\n 57.158<\/td>\n 56.652<\/td>\n 57.602<\/td>\n 58.232<\/td>\n 58.851<\/td>\n 59.158<\/td>\n 59.602<\/td>\n 60.232<\/td>\n 60.851<\/td>\n 61.158<\/td>\n 60.339<\/td>\n 61.602<\/td>\n 62.232<\/td>\n 62.851<\/td>\n 63.158<\/td>\n 62.602<\/td>\n 63.232<\/td>\n 63.851<\/td>\n 64.158<\/td>\n 64.339<\/td>\n 65.602<\/td>\n 66.232<\/td>\n 66.851<\/td>\n 67.158<\/td>\n 66.339<\/td>\n 67.602<\/td>\n 68.232<\/td>\n 68.851<\/td>\n 69.158<\/td>\n 68.339<\/td>\n 69.602<\/td>\n 70.232<\/td>\n 70.851<\/td>\n 71.158<\/td>\n 72.602<\/td>\n 73.232<\/td>\n 73.851<\/td>\n 74.158<\/td>\n 72.339<\/td>\n 73.602<\/td>\n 74.232<\/td>\n 74.851<\/td>\n 75.158<\/td>\n 76.851<\/td>\n 76.339<\/td>\n 77.602<\/td>\n 78.232<\/td>\n 78.851<\/td>\n 79.158<\/td>\n 80.851<\/td>\n 81.339<\/td>\n 82.602<\/td>\n 83.232<\/td>\n 83.851<\/td>\n 86.339<\/td>\n 87.602<\/td>\n<\/tr>\n \n M\u00ednimo<\/td>\n 0.856<\/td>\n 0.887<\/td>\n 0.956<\/td>\n 0.987<\/td>\n 1.056<\/td>\n 1.087<\/td>\n 1.223<\/td>\n 1.287<\/td>\n 1.392<\/td>\n 1.487<\/td>\n 1.592<\/td>\n 1.687<\/td>\n 1.759<\/td>\n 1.856<\/td>\n 1.928<\/td>\n 2.056<\/td>\n 2.228<\/td>\n 2.292<\/td>\n 2.695<\/td>\n 2.792<\/td>\n 3.131<\/td>\n 3.292<\/td>\n 3.567<\/td>\n 3.695<\/td>\n 4.035<\/td>\n 4.195<\/td>\n 4.504<\/td>\n 4.695<\/td>\n 5.195<\/td>\n 5.377<\/td>\n 5.535<\/td>\n 6.377<\/td>\n 6.535<\/td>\n 7.216<\/td>\n 7.377<\/td>\n 7.535<\/td>\n 8.216<\/td>\n 8.377<\/td>\n 8.535<\/td>\n 9.058<\/td>\n 9.216<\/td>\n 9.377<\/td>\n 9.535<\/td>\n 10.058<\/td>\n 10.377<\/td>\n 10.535<\/td>\n 10.897<\/td>\n 11.058<\/td>\n 11.216<\/td>\n 11.377<\/td>\n 12.739<\/td>\n 13.058<\/td>\n 13.216<\/td>\n 13.377<\/td>\n 14.058<\/td>\n 14.377<\/td>\n 14.739<\/td>\n 15.058<\/td>\n 15.377<\/td>\n 16.058<\/td>\n 16.377<\/td>\n 16.418<\/td>\n 16.739<\/td>\n 17.058<\/td>\n 17.377<\/td>\n 18.418<\/td>\n 18.739<\/td>\n 19.058<\/td>\n 19.377<\/td>\n 20.418<\/td>\n 20.739<\/td>\n 21.058<\/td>\n 21.377<\/td>\n 22.222<\/td>\n 22.739<\/td>\n 23.058<\/td>\n 23.377<\/td>\n 23.739<\/td>\n 24.058<\/td>\n 24.377<\/td>\n 25.058<\/td>\n 25.1<\/td>\n 25.739<\/td>\n 26.058<\/td>\n 26.377<\/td>\n 26.739<\/td>\n 27.058<\/td>\n 27.377<\/td>\n 27.907<\/td>\n 28.1<\/td>\n 28.739<\/td>\n 29.058<\/td>\n 29.377<\/td>\n 30.739<\/td>\n 31.058<\/td>\n 30.78<\/td>\n 31.1<\/td>\n 31.739<\/td>\n 32.058<\/td>\n 34.058<\/td>\n 33.462<\/td>\n 34.1<\/td>\n 34.739<\/td>\n 35.058<\/td>\n 37.058<\/td>\n 36.462<\/td>\n 37.1<\/td>\n 37.739<\/td>\n 38.058<\/td>\n 38.1<\/td>\n 38.739<\/td>\n 39.058<\/td>\n 39.14<\/td>\n 39.462<\/td>\n 40.1<\/td>\n 40.739<\/td>\n 41.058<\/td>\n 42.14<\/td>\n 42.462<\/td>\n 43.1<\/td>\n 43.739<\/td>\n 44.058<\/td>\n 44.823<\/td>\n 45.462<\/td>\n 46.1<\/td>\n 46.739<\/td>\n 47.058<\/td>\n 48.1<\/td>\n 48.739<\/td>\n 49.058<\/td>\n 48.823<\/td>\n 49.462<\/td>\n 50.1<\/td>\n 50.739<\/td>\n 51.058<\/td>\n 52.462<\/td>\n 53.1<\/td>\n 53.739<\/td>\n 54.058<\/td>\n 52.652<\/td>\n 53.602<\/td>\n 54.232<\/td>\n 54.851<\/td>\n 55.158<\/td>\n 55.602<\/td>\n 56.232<\/td>\n 56.851<\/td>\n 57.158<\/td>\n 56.652<\/td>\n 57.602<\/td>\n 58.232<\/td>\n 58.851<\/td>\n 59.158<\/td>\n 59.602<\/td>\n 60.232<\/td>\n 60.851<\/td>\n 61.158<\/td>\n 60.339<\/td>\n 61.602<\/td>\n 62.232<\/td>\n 62.851<\/td>\n 63.158<\/td>\n 62.602<\/td>\n 63.232<\/td>\n 63.851<\/td>\n 64.158<\/td>\n 64.339<\/td>\n 65.602<\/td>\n 66.232<\/td>\n 66.851<\/td>\n 67.158<\/td>\n 66.339<\/td>\n 67.602<\/td>\n 68.232<\/td>\n 68.851<\/td>\n 69.158<\/td>\n 68.339<\/td>\n 69.602<\/td>\n 70.232<\/td>\n 70.851<\/td>\n 71.158<\/td>\n 72.602<\/td>\n 73.232<\/td>\n 73.851<\/td>\n 74.158<\/td>\n 72.339<\/td>\n 73.602<\/td>\n 74.232<\/td>\n 74.851<\/td>\n 75.158<\/td>\n 76.851<\/td>\n 76.339<\/td>\n 77.602<\/td>\n 78.232<\/td>\n 78.851<\/td>\n 79.158<\/td>\n 80.851<\/td>\n 81.339<\/td>\n 82.602<\/td>\n 83.232<\/td>\n 83.851<\/td>\n 86.339<\/td>\n 87.602<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n M\u00e9todos de c\u00e1lculo para D2<\/sub> Tolerancias<\/h2>\n
\n
Mejores pr\u00e1cticas en la aplicaci\u00f3n<\/h2>\n
\n
Preguntas frecuentes<\/h2>\n
\u00bfCu\u00e1l es el di\u00e1metro nominal del paso para una rosca interna M10x1.5?<\/h3>\n
\u00bfC\u00f3mo afectan los grados de tolerancia al ajuste?<\/h3>\n
\u00bfPor qu\u00e9 se usa com\u00fanmente el 6H?<\/h3>\n
\u00bfSe pueden ajustar las tolerancias para las roscas chapadas?<\/h3>\n
\u00bfQu\u00e9 ocurre si una talla no aparece en la tabla?<\/h3>\n
C\u00f3mo medir D2<\/sub> \u00bfexactamente?<\/h3>\n